DANA C. CRAWFORD, PH.D.

Assistant Director for Population and Diversity Research

Dana Craw­ford, Ph.D., is Asso­ciate Pro­fes­sor of Epi­demi­ol­ogy and Bio­sta­tis­tics within the Insti­tute for Com­pu­ta­tional Biol­ogy. Dr. Craw­ford received her Ph.D. at Emory Uni­ver­sity in genet­ics and mol­e­c­u­lar biol­ogy in 2000 and then trained as a post-doctoral fel­low as an Epi­demic Intel­li­gence Ser­vice Offi­cer at the Cen­ters for Dis­ease Con­trol and Pre­ven­tion (2000–2002) and as a senior fel­low at the Uni­ver­sity of Washington’s Depart­ment of Genome Sci­ences (2002–2006). Prior to her most cur­rent posi­tion, Dr. Craw­ford spent eight years as tenure-track fac­ulty in Depart­ment of Mol­e­c­u­lar Phys­i­ol­ogy and Bio­physics and Inves­ti­ga­tor in the Cen­ter for Human Genet­ics Research at Van­der­bilt Uni­ver­sity. As a genetic epi­demi­ol­o­gist at CWRU, Dr. Crawford’s broad research inter­ests include apply­ing genetic vari­a­tion data to large-scale epi­demi­o­logic and clin­i­cal cohorts to bet­ter under­stand human genotype-phenotype asso­ci­a­tions with an empha­sis on diverse populations.

Affiliations

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Featured Publications


Population Stratification in the Context of Diverse Epidemiologic Surveys Sans Genome-Wide Data.

Oetjens MT, Brown-Gentry K, Goodloe R, Dilks HH, Crawford DC,. Population stratification or confounding by genetic ancestry is a potential cause of false associations in genetic association studies. Estimation of and adjustment for genetic ancestry has become common practice thanks in part to the availability of ancestry informative markers on genome-wide association study (GWAS) arrays. […]


Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry.

Dumitrescu L, Restrepo NA, Goodloe R, Boston J, Farber-Eger E, Pendergrass SA, Bush WS, Crawford DC,. Racial/ethnic differences for commonly measured clinical variables are well documented, and it has been postulated that population-specific genetic factors may play a role. The genetic heterogeneity of admixed populations, such as African Americans, provides a unique opportunity to identify […]


eMERGEing progress in genomics-the first seven years.

Crawford DC, Crosslin DR, Tromp G, Kullo IJ, Kuivaniemi H, Hayes MG, Denny JC, Bush WS, Haines JL, Roden DM, McCarty CA, Jarvik GP, Ritchie MD,. The electronic MEdical Records & GEnomics (eMERGE) network was established in 2007 by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH) in part […]

Recent Publications

  1. Zubair, N, Graff, M, Luis Ambite, J, Bush, WS, Kichaev, G, Lu, Y, Manichaikul, A, Sheu, WH, Absher, D, Assimes, TL et al.. Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci. Hum. Mol. Genet. 2016; 25 (24): 5500-5512. PubMed PMID:28426890 .
  2. Fernández-Rhodes, L, Gong, J, Haessler, J, Franceschini, N, Graff, M, Nishimura, KK, Wang, Y, Highland, HM, Yoneyama, S, Bush, WS et al.. Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci. Hum. Genet. 2017; : . PubMed PMID:28391526 .
  3. Dumitrescu, L, Ritchie, MD, Denny, JC, El Rouby, NM, McDonough, CW, Bradford, Y, Ramirez, AH, Bielinski, SJ, Basford, MA, Chai, HS et al.. Genome-wide study of resistant hypertension identified from electronic health records. PLoS ONE 2017; 12 (2): e0171745. PubMed PMID:28222112 PubMed Central PMC5319785.
  4. Bush, WS, Crawford, DC. Predicting Incident Coronary Heart Disease Many Markers at a Time. Circ Cardiovasc Genet 2016; 9 (6): 472-473. PubMed PMID:27998944 .
  5. Jones, GT, Tromp, G, Kuivaniemi, H, Gretarsdottir, S, Baas, AF, Giusti, B, Strauss, E, Van’t Hof, FN, Webb, TR, Erdman, R et al.. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci. Circ. Res. 2017; 120 (2): 341-353. PubMed PMID:27899403 PubMed Central PMC5253231.
  6. Hollister, BM, Restrepo, NA, Farber-Eger, E, Crawford, DC, Aldrich, MC, Non, A. DEVELOPMENT AND PERFORMANCE OF TEXT-MINING ALGORITHMS TO EXTRACT SOCIOECONOMIC STATUS FROM DE-IDENTIFIED ELECTRONIC HEALTH RECORDS. Pac Symp Biocomput 2016; 22 : 230-241. PubMed PMID:27896978 PubMed Central PMC5147499.
  7. Restrepo, NA, Butkiewicz, M, McGrath, JA, Crawford, DC. Shared Genetic Etiology of Autoimmune Diseases in Patients from a Biorepository Linked to De-identified Electronic Health Records. Front Genet 2016; 7 : 185. PubMed PMID:27812365 PubMed Central PMC5071319.
  8. Restrepo, NA, Farber-Eger, E, Crawford, DC. Searching in the Dark: Phenotyping Diabetic Retinopathy in a De-Identified Electronic Medical Record Sample of African Americans. AMIA Jt Summits Transl Sci Proc 2016; 2016 : 221-30. PubMed PMID:27570675 PubMed Central PMC5001772.
  9. Verma, A, Verma, SS, Pendergrass, SA, Crawford, DC, Crosslin, DR, Kuivaniemi, H, Bush, WS, Bradford, Y, Kullo, I, Bielinski, SJ et al.. eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. BMC Med Genomics 2016; 9 Suppl 1 : 32. PubMed PMID:27535653 PubMed Central PMC4989894.
  10. van ‘t Hof, FN, Ruigrok, YM, Lee, CH, Ripke, S, Anderson, G, de Andrade, M, Baas, AF, Blankensteijn, JD, Böttinger, EP, Bown, MJ et al.. Shared Genetic Risk Factors of Intracranial, Abdominal, and Thoracic Aneurysms. J Am Heart Assoc 2016; 5 (7): . PubMed PMID:27418160 PubMed Central PMC5015357.

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